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Remote Medical Coder Jobs in San Ramon, CA (NOW HIRING)

W rite clean, efficient, and well-documented code following industry best practices. * T ... F lexible working hours and remote work options. * O pportunities for professional development and ...

DevOps Engineer

Redwood City, CA · Remote

$140K - $170K/yr

The team focuses on CI/CD pipeline development, infrastructure-as-code, and observability to ensure ... Northern California (local) / Remote All candidate must be located in the United States to be ...

DevOps Engineer

Redwood City, CA · Remote

$140K - $170K/yr

The team focuses on CI/CD pipeline development, infrastructure-as-code, and observability to ensure ... Northern California (local) / Remote All candidate must be located in the United States to be ...

Epic Denials Management Operator

San Jose, CA · Remote

$21 - $28.25/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Rebill corrected claims and route issues to coding, billing, credentialing, denials, and/or ...

Epic Denials Management Operator

San Francisco, CA · Remote

$21.25 - $28.25/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Rebill corrected claims and route issues to coding, billing, credentialing, denials, and/or ...

Showing results 41-60

Remote Medical Coder information

See San Ramon, CA salary details

$19

$24

$26

How much do remote medical coder jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote medical coder in San Ramon, CA is $24.03, according to ZipRecruiter salary data. Most workers in this role earn between $20.14 and $25.53 per hour, depending on experience, location, and employer.

How much can a remote medical coder make working from home?

Remote medical coders typically earn between $40,000 and $70,000 annually, depending on experience, certifications, and the complexity of coding tasks. Some experienced professionals or those with specialized skills can earn higher salaries, especially if working for large healthcare organizations or as independent contractors.

Is remote medical coding worth it?

Remote medical coding is a legitimate career that offers flexibility and the ability to work from home. It requires certification, attention to detail, and knowledge of coding systems like ICD-10 and CPT. Many find it a rewarding option with steady demand in healthcare administration.

How do remote medical coders typically communicate and collaborate with healthcare providers and team members?

Remote Medical Coders often collaborate with healthcare providers, billing teams, and other coders through secure digital platforms, email, and scheduled video conferences. Clear communication is essential to clarify documentation, resolve coding discrepancies, and ensure accurate billing. Many employers use specialized health information systems and project management tools to streamline workflow and maintain HIPAA compliance. Frequent virtual meetings and messaging help foster teamwork and keep everyone aligned, even when working from different locations.

What are the key skills and qualifications needed to thrive as a remote medical coder, and why are they important?

To thrive as a Remote Medical Coder, you need a solid understanding of medical terminology, anatomy, and coding systems such as ICD-10 and CPT, usually supported by a coding certification (e.g., CPC, CCS). Familiarity with electronic health records (EHRs) and coding software like 3M or Epic is essential for accurate and efficient work. Attention to detail, time management, and strong written communication skills help remote coders excel in independent, deadline-driven environments. These abilities ensure accurate billing, compliance with regulations, and minimal claim denials, which are critical for healthcare organizations' operational and financial success.

What is the difference between Remote Medical Coder vs Remote Medical Biller?

AspectRemote Medical CoderRemote Medical Biller
CertificationsCertified Professional Coder (CPC), CCSCertified Medical Reimbursement Specialist (CMRS), CPC
Work EnvironmentAnalyzing medical records, coding diagnoses and proceduresSubmitting claims, following up on payments
Industry UsageHealthcare providers, hospitals, clinicsInsurance companies, billing services, healthcare providers

Remote Medical Coders and Remote Medical Billers often work together but focus on different tasks. Coders assign codes based on medical records, while Billers handle claims submission and payment follow-up. Both roles require similar certifications and are essential in healthcare revenue cycle management.

How to get a remote job as a remote medical coder?

To secure a remote medical coder position, obtain relevant certifications such as CPC or CCS, gain experience with coding software and medical records, and build a strong resume highlighting your accuracy and attention to detail. Job seekers should search on online job boards, network with industry professionals, and tailor applications to remote coding roles that specify telecommuting options.

What is a remote medical coder?

A remote medical coder is a healthcare professional who reviews clinical documents and assigns standardized codes for diagnoses, procedures, and medical services, all while working from a remote location such as their home. These codes are essential for billing, insurance claims, and maintaining patient records. Remote medical coders typically use electronic health records (EHR) and must have a strong understanding of medical terminology, coding systems like ICD-10 and CPT, and relevant regulations. Working remotely offers flexibility but still requires attention to detail, confidentiality, and adherence to industry standards.

What does a remote medical coder do?

Remote medical coders are medical coders who work from home or locations outside of healthcare facilities. They process patient information, such as diagnosis, services rendered, and equipment used to conduct tests, in order to translate it into medical codes consisting of numbers and letters. Billing and coding specialists manage this information so that patients or their insurance companies can be billed appropriately. Remote medical coders may be self-employed or work for large coding firms that contract with hospitals or healthcare facilities.

What are the most commonly searched types of Medical Coder jobs in San Ramon, CA? The most popular types of Medical Coder jobs in San Ramon, CA are:
What are popular job titles related to Remote Medical Coder jobs in San Ramon, CA? For Remote Medical Coder jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Remote Medical Coder jobs in San Ramon, CA look for? The top searched job categories for Remote Medical Coder jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Medical Coder jobs? Cities near San Ramon, CA with the most Remote Medical Coder job openings:
Infographic showing various Remote Medical Coder job openings in San Ramon, CA as of August 2026, with employment types broken down into 6% As Needed, 77% Full Time, 6% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $49,980 per year, or $24 per hour.

Senior Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)

Yelp, Inc

San Francisco, CA • Remote

$144K - $190K/yr

Full-time

Posted 27 days ago


Yelp rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

135th of 243 rated software companies


Job description

Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.

Yelp’s mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As a Staff-level ML Engineer on the Content Contributor Intelligence team, you will help build connections across millions of users and business listings. Your work will involve using cutting-edge industry tools, including neural networks (NNs), large language models (LLMs), and various embedding techniques for text, images, and videos. Additionally, you will apply traditional ML methods such as XGBoost and linear models to enhance our systems.  You’ll be responsible for turning raw data into valuable signals and building ML systems end-to-end. This includes the full ML lifecycle from training models to deploying them in production, as well as contributing to the ML platforms these models rely on. 

This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.


  • Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
  • Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
  • Work with large and complex textual and visual datasets.
  • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
  • Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
  • Productionize and automate model pipelines within Python services.
  • Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices.

  • Experience developing and productionizing machine learning models, particularly in neural networks, computer vision and LLMs including their supported data pipelines.
  • Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn.
  • Strong coding skills in Python or equivalent (Java, C++).
  • Solid understanding of engineering and infrastructure best practices.
  • The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
  • We highly value experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation.
  • A Bachelor’s Degree or an equivalent work experience is required

  • There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience. Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $112,000 and $269,000. You may also be offered a bonus, restricted stock units, and benefits.
  • This opportunity has the option to be fully remote in all locations across the US.
  • You can find more information about Yelp's five star benefits here!

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”
 
We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
 
Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience. 
 
We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California).
 
Where required by law, a criminal background check will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background check will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role.
 
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.
 
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
 
US Recruiting and Applicant Privacy Notice
 
Notice to Washington Applicants - Washington State Fair Chance Act
 
#LI-Remote

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